Pre-sales Manager Central (DACH) - Digital Natives and Startups
About this role
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Look at all the apps you have on your mobile. Many of these are built by customers that are within our Digital Natives and Startup patch and are using Databricks to support their business.
We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and foster a culture of creativity, experimentation, and continuous improvement. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes Data and AI accessible to everyone. Join us in our quest to change how people work with data and make a better world!
About the team
The Solutions Architecture team serves as trusted advisors, helping customers identify and prioritize impactful use cases across their industries. Our team provides expert technical guidance to drive Data and AI solutions from concept to production. They act as a bridge between customers, product teams, and sales, ensuring that solutions are not only technically sound but also aligned with business objectives.
About the role
A Digital Native Business Solution Architect Leader is a senior technical and strategic role focused on designing, developing, and implementing technology solutions tailored for digital native companies—businesses born in the digital era, often leveraging cloud, APIs, and modern data platforms. This leader not only understands data solutions but also leads and mentors a team of solution architects to deliver impactful customer outcomes. You’ll empower companies to innovate and grow together with your team.
The impact you will have:
Responsibilities
- Technical Leadership:
- Guide customers through competitive landscapes, best practices, and implementation strategies.
- Provide technical leadership to help customers understand how Databricks can solve their business problems.
- Team Leadership & Mentorship:
- Lead, build, and mentor a high-performing team of solution architects.
- Drive exceptional customer outcomes demonstrated by production applications and increased adoption of APIs and platforms.
- Develop technical champions within customer organizations.
- Customer Engagement & Strategy:
- Partner closely with sales teams to develop account strategies and align on plans that help our customers to achieve their business goals.
- Lead technical win strategies and support technical account management for strategic customers.
- Engage with end-user and developer communities to understand needs and tailor solutions accordingly.
- What we look for:
- Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.
- Have 2+ years of experience leading technical pre-sales teams with a demonstrated ability to hire, develop, and manage technical teams.
- Strong understanding of digital native business models and their technology and business requirements.
- Extensive experience (often 5+ years) in infrastructure architecture, database architecture, networking, and IT development or consulting within software or internet industries.
- Have a proven ability to lead technical teams and an operational and strategic mindset in doing this.
- Have strong communication skills with excellent presentation and negotiation skills, both in-person and written.
- Have experience in pre-sales activities, such as solution design and business value selling.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.